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Significant figures calculator (sig figs): counting and rounding rules

Counts the figures of a written value, rounds to n figures, and applies the right rule to a calculation, figures or decimal places.

Parameters

Raw entry: "0.50" is not "0.5", "250." is not "250". Scientific notation accepted (2.50e2).

Result

Significant figures

3

Reading
"250." carries 3 significant figures
Scientific notation
2.50e+2
Implicit uncertainty± 0.5
entry250.3 figures
Notes (2)

The ribbon covers the significant figures; the signs in pale ink are not significant.

This writing asserts 3 significant figures, that is a value known to ± 0.5.

Calculation, assumptions and sources

OverviewCounts the significant figures of a written value and gives its implicit uncertainty, rounds a value to n figures, and applies the textbook rule to a calculation: minimum significant figures for × and ÷, least precise decimal place for + and −.

Counts the significant figures of a written value and gives its implicit uncertainty, rounds a value to n figures, and applies the textbook rule to a calculation: minimum significant figures for × and ÷, least precise decimal place for + and −. The count applies to the writing, zeros included: "0.50", "250" and "250." carry 2, 2 and 3 figures.

Method & formulas× and ÷: min(significant figures)
× and ÷: min(significant figures)+ and −: least precise decimal place"250" = 250 ± 5"250." = 250 ± 0.5

The significant-figures rule applies to × and ÷, the decimal-places rule to + and −.

Significant figure
every written digit from the first non-zero one, trailing zeros included when a decimal point is present.
Leading zeros
not significant: "0.0034" carries two figures.
Trailing zeros of an integer
ambiguous, and not counted by convention; "250." or "2.50e2" assert them.
Implicit uncertainty
half the step of the last asserted decimal: "12.3" means 12.3 ± 0.05.
Validity domainThese rules approximate uncertainty propagation: they give an order of magnitude, not an exact interval.

These rules approximate uncertainty propagation: they give an order of magnitude, not an exact interval. When uncertainties are known, uncertainty propagation is preferable. They apply to the final result; intermediate steps keep one or two extra figures. Exact numbers (counts, defining factors such as the 2 in 2πr) do not limit the result; both operands are treated as measurements.